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TechnicalDecember 15, 202410 min read

LLM Integration Patterns That Actually Work

Common patterns for integrating large language models into production applications, with real-world examples and pitfalls to avoid.

Production > Demo

Reliable LLM systems require architecture choices beyond prompts.

Patterns That Work

1. Retrieval-Augmented Generation (RAG)

Ground outputs in trusted business data and cite sources.

2. Guardrails + Validation

Constrain formats, validate outputs, and fail safely.

3. Tool Calling

Use deterministic tools for actions; reserve LLM for reasoning.

4. Human-in-the-Loop

Add approval for high-impact actions.

5. Observability by Default

Log prompts, responses, latency, and failure modes.

Anti-Patterns

  • Shipping with no evaluation harness
  • Ignoring hallucination impact in critical workflows
  • Treating model upgrades as risk-free

Start with narrow scope, strict success criteria, and tight feedback loops.

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